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Remote Aws Machine Learning Jobs in Indiana (NOW HIRING)

micro1 AI

Engineering AI Evaluator (PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

L3HHCM20

Artificial Intelligence Specialist

Fort Wayne, IN · On-site +1

$109K - $203K/yr

... cloud provider (AWS or Azure) and Agile tools (Jira, Confluence) Ability to comply with export ... in machine learning, NLP, or deep learning GitOps/DevSecOps concepts and toolchains; CI/CD ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Maximus

Cloud Platform Engineer

South Bend, IN · Remote

$54.75 - $73.25/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Evansville, IN · Remote

$53.25 - $71/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Terre Haute, IN · Remote

$53 - $70.75/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Gary, IN · Remote

$55.50 - $74.25/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Indianapolis, IN · Remote

$49 - $65.25/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Hammond, IN · Remote

$53 - $71/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Maximus

Cloud Platform Engineer

Fort Wayne, IN · Remote

$51.50 - $68.75/hr

... AWS and Azure cloud environments, including IaaS and PaaS services. - Manage full virtual machine ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Indiana? The most popular types of Aws Machine Learning jobs in Indiana are:
What are popular job titles related to Remote Aws Machine Learning jobs in Indiana? For Remote Aws Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Indiana look for? The top searched job categories for Remote Aws Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Remote Aws Machine Learning jobs? Cities in Indiana with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Indianapolis, IN • Remote

$80 - $90/hr

Part-time

Posted 14 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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